Why Outsourcing Data Mining Services?

Are huge volumes of raw data waiting to be converted into information that you can use? Your organization's hunt for valuable information ends with valuable data mining, which can help to bring more accuracy and clarity in decision making process.

Nowadays world is information hungry and with Internet offering flexible communication, there is remarkable flow of data. It is significant to make the data available in a readily workable format where it can be of great help to your business. Then filtered data is of considerable use to the organization and efficient this services to increase profits, smooth work flow and ameliorating overall risks.

Data mining is a process that engages sorting through vast amounts of data and seeking out the pertinent information. Most of the instance data mining is conducted by professional, business organizations and financial analysts, although there are many growing fields that are finding the benefits of using in their business.

Data mining is helpful in every decision to make it quick and feasible. The information obtained by it is used for several applications for decision-making relating to direct marketing, e-commerce, customer relationship management, healthcare, scientific tests, telecommunications, financial services and utilities.

Data mining services include:

    Congregation data from websites into excel database
    Searching & collecting contact information from websites
    Using software to extract data from websites
    Extracting and summarizing stories from news sources
    Gathering information about competitors business

In this globalization era, handling your important data is becoming a headache for many business verticals. Then outsourcing is profitable option for your business. Since all projects are customized to suit the exact needs of the customer, huge savings in terms of time, money and infrastructure can be realized.

Advantages of Outsourcing Data Mining Services:

    Skilled and qualified technical staff who are proficient in English
    Improved technology scalability
    Advanced infrastructure resources
    Quick turnaround time
    Cost-effective prices
    Secure Network systems to ensure data safety
    Increased market coverage

Outsourcing will help you to focus on your core business operations and thus improve overall productivity. So data mining outsourcing is become wise choice for business. Outsourcing of this services helps businesses to manage their data effectively, which in turn enable them to achieve higher profits.


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Data Extraction Services For Better Outputs in Your Business

Data Extraction can be defined as the process of retrieving data from an unstructured source in order to process it further or store it. It is very useful for large organizations who deal with large amount of data on a daily basis that need to be processed into meaningful information and stored for later use. The data extraction is a systematic way to extract and structure data from scattered and semi-structured electronic documents, as found on the web and in various data warehouses.

In today's highly competitive business world, vital business information such as customer statistics, competitor's operational figures and inter-company sales figures play an important role in making strategic decisions. By signing on this service provider, you will be get access to critivcal data from various sources like websites, databases, images and documents.

It can help you take strategic business decisions that can shape your business' goals. Whether you need customer information, nuggets into your competitor's operations and figure out your organization's performance, it is highly critical to have data at your fingertips as and when you want it. Your company may be crippled with tons of data and it may prove a headache to control and convert the data into useful information. Data extraction services enable you get data quickly and in the right format.

Few areas where Data Extraction can help you are:

    Capturing financial data
    Generating better sales leads
    Conducting market research, survey and analysis
    Conducting product research and analysis
    Track, extract and harvest product pricing data
    Searching for specific job postings
    Duplicating an online database
    Acquiring real estate data
    Processing auction information
    Searching online newspapers for latest pricing information
    Extracting and summarize news stories from online news sources

Outsourcing companies provide custom made data extraction services to the client's requirements. The different types of data extraction services;

    Web extraction
    Database extraction

Outsourcing is the beneficial option for large organizations seeking to manage large information. Outsourcing this services helps businesses in managing their data effectively, which in turn enables business to experience an increase in profits. By outsourcing, you can certainly increase your competitive edge and save costs too!


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Data Entry - Why Outsourcing Data Entry Is Beneficial for Business

Data is very important and basic part for any business organization. You can access it easily by maintaining your data into single data base. Accurately managed data can increase your business efficiency.

In the present globalized world, to save huge amount of time, expenses, resources all business firms, medical firms, banking firms, telecoms companies outsource their requirements to trusted offshore outsourcing company. There are many offshore outsourcing company provides their data entry services in UK, USA, Canada, Australia and other part of world.

Many outsourcing company provides custom data entry services as per client needs. An outsourcing company provides below mention services accurately:

• Entry of online and offline basis
• Entry of image
• Entry of document
• Entry of form
• Entry of survey and business reports
• Entry of legal documents
• Entry of alphabetical and numeric information
• Entry of MS word and MS excel

Outsourcing has lot of advantages. Some of the benefits of outsourcing are described below:

• Output within short turnaround time with the highest level of accuracy
• Save expenses behind human resources, accommodation
• Information of database will be kept confidential and safe
• Projects handled by well-trained and experience experts
• Delivering after checking by quality control department
• Reduce management headache and burden
• Focus all productive time and cost in to core business

Having numerous benefits outsourcing is a great option to increase business proficiency and productivity but it is required to outsource a trusted and genuine company. Business firms outsource their projects to outsourcing company because of high level of accuracy, timely deliveries and total confidentiality. Outsourcing is helpful to save cost and increase profitability.


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How to Find the Ideal Data Entry Company

You've heard it and read about it time and time again - outsourcing can reduce your workload, cut your operating costs, give you more time for profit generating endeavors, and reduce backlog. Having said that, it is worth knowing how to find the ideal data entry company to outsource to. If you want to realize the benefits of contracting out, you have to ensure you've got the right service provider.

Phase 1: Data Entry Outsourcing- What Do You Want out of It?

Before you go about searching for a service provider, you have to clearly define your requirements and expectations. Think along the lines of:

• Kind of work to be done
• The format of the data you are going to be giving them - handwritten, paper-based, web-generated, bubble-forms
• The format you expect the work to be sent to you in - Word, Excel, OCR or some other format
• Level of accuracy expected - 99 percent wouldn't be too much to ask
• How you want the completed work transmitted to you - scanned and sent, FTP or some other mode
• When you expect the work to be completed

Once you have an idea of what you want from the data entry company, your task becomes easy.

Phase 2: Search and Communicate

The next thing to do is find out possible service providers, and compare them. Entering search queries in Google and other prominent search engines would bring in a lot of results. Take a look at the websites of different service providers, keeping in mind that there are a lot of bogus ones. Contact those that you feel are genuine and ask them for references. Verify those references. Ask to see client lists of the different companies. A sufficiently long client list shows two things. First, a lot of people are demanding that particular company's solutions and secondly, it must be offering quite a variety of solutions.

If you have found an establishment with a good number of clients and credible references, you're ready to move on to the next phase.

Phase 3: More Communication

The only way you are going to know if a particular data entry company is suitable for your requirements is to ask questions. The answers you get should convince you that the company:

• Has advanced security and privacy protocols in place
• Follows stringent QA procedures
• Can consistently guarantee you 99 percent accuracy
• Keeps itself up-to-date both in technology and technique
• Has file transmission methods that are suitable to you
• Provides phone-based customer and technical support
• Can reduce your overhead by at least 30 percent
• Can meet your turnaround demands

Phase 4: The Free Trial

The final test is taking full advantage of the no-cost trial offered by the service provider. This would help you know for sure whether it is as good as it claims to be.

Success at Last

If a particular service provider has succeeded in your 4 phase search, you can consider yourself successful in finding the ideal data entry company for your requirements.

Managed Outsource Solutions (MOS), a US based data entry company offers a wide range of affordable offline and online data entry services, utilizing state-of-the-art information technology to optimize efficiency.



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Understanding Data Mining

Well begun is half done. We can say that the invention of Internet is the greatest invention of the century which allows for quick information retrieval. It also has negative aspects, as it is an open forum therefore differentiating facts from fiction seems tough. It is the objective of every researcher to know how to perform mining of data on the Internet for accuracy of data. There are a number of search engines that provide powerful search results.

Knowing File Extensions in Data Mining

For mining data the first thing is important to know file extensions. Sites ending with dot-com are either commercial or sales sites. Since sales is involved there is a possibility that the collected information is inaccurate. Sites ending with dot-gov are of government departments, and these sites are reviewed by professionals. Sites ending with dot-org are generally for non-profit organizations. There is a possibility that the information is not accurate. Sites ending with dot-edu are of educational institutions, where the information is sourced by professionals. If you do not have an understanding you may take help of professional data mining services.

Knowing Search Engine Limitations for Data Mining

Second step is to understand when performing data mining is that majority search engines have filtering, file extension, or parameter. These are restrictions to be typed after your search term, for example: if you key in "marketing" and click "search," every site will be listed from dot-com sites having the term "marketing" on its website. If you key in "marketing site.gov," (without the quotation marks) only government department sites will be listed. If you key in "marketing site:.org" only non-profit organizations in marketing will be listed. However, if you key in "marketing site:.edu" only educational sites in marketing will be displayed. Depending on the kind of data that you want to mine after your search term you will have to enter "site.xxx", where xxx will being replaced by.com,.gov,.org or.edu.

Advanced Parameters in Data Mining

When performing data mining it is crucial to understand far beyond file extension that it is even possible to search particular terms, for example: if you are data mining for structural engineer's association of California and you key in "association of California" without quotation marks the search engine will display hundreds of sites having "association" and "California" in their search keywords. If you key in "association of California" with quotation marks, the search engine will display only sites having exactly the phrase "association of California" within the text. If you type in "association of California" site:.com, the search engine will display only sites having "association of California" in the text, from only business organizations.

If you find it difficult it is better to outsource data mining to companies like Online Web Research Services


Source: http://ezinearticles.com/?Understanding-Data-Mining&id=5608012

Digging Up Dollars With Data Mining - An Executive's Guide

Traditionally, organizations use data tactically - to manage operations. For a competitive edge, strong organizations use data strategically - to expand the business, to improve profitability, to reduce costs, and to market more effectively. Data mining (DM) creates information assets that an organization can leverage to achieve these strategic objectives.

In this article, we address some of the key questions executives have about data mining. These include:

    What is data mining?
    What can it do for my organization?
    How can my organization get started?

Business Definition of Data Mining

Data mining is a new component in an enterprise's decision support system (DSS) architecture. It complements and interlocks with other DSS capabilities such as query and reporting, on-line analytical processing (OLAP), data visualization, and traditional statistical analysis. These other DSS technologies are generally retrospective. They provide reports, tables, and graphs of what happened in the past. A user who knows what she's looking for can answer specific questions like: "How many new accounts were opened in the Midwest region last quarter," "Which stores had the largest change in revenues compared to the same month last year," or "Did we meet our goal of a ten-percent increase in holiday sales?"

We define data mining as "the data-driven discovery and modeling of hidden patterns in large volumes of data." Data mining differs from the retrospective technologies above because it produces models - models that capture and represent the hidden patterns in the data. With it, a user can discover patterns and build models automatically, without knowing exactly what she's looking for. The models are both descriptive and prospective. They address why things happened and what is likely to happen next. A user can pose "what-if" questions to a data-mining model that can not be queried directly from the database or warehouse. Examples include: "What is the expected lifetime value of every customer account," "Which customers are likely to open a money market account," or "Will this customer cancel our service if we introduce fees?"

The information technologies associated with DM are neural networks, genetic algorithms, fuzzy logic, and rule induction. It is outside the scope of this article to elaborate on all of these technologies. Instead, we will focus on business needs and how data mining solutions for these needs can translate into dollars.

Mapping Business Needs to Solutions and Profits

What can data mining do for your organization? In the introduction, we described several strategic opportunities for an organization to use data for advantage: business expansion, profitability, cost reduction, and sales and marketing. Let's consider these opportunities very concretely through several examples where companies successfully applied DM.

Expanding your business: Keystone Financial of Williamsport, PA, wanted to expand their customer base and attract new accounts through a LoanCheck offer. To initiate a loan, a recipient just had to go to a Keystone branch and cash the LoanCheck. Keystone introduced the $5000 LoanCheck by mailing a promotion to existing customers.

The Keystone database tracks about 300 characteristics for each customer. These characteristics include whether the person had already opened loans in the past two years, the number of active credit cards, the balance levels on those cards, and finally whether or not they responded to the $5000 LoanCheck offer. Keystone used data mining to sift through the 300 customer characteristics, find the most significant ones, and build a model of response to the LoanCheck offer. Then, they applied the model to a list of 400,000 prospects obtained from a credit bureau.

By selectively mailing to the best-rated prospects determined by the DM model, Keystone generated $1.6M in additional net income from 12,000 new customers.

Reducing costs: Empire Blue Cross/Blue Shield is New York State's largest health insurer. To compete with other healthcare companies, Empire must provide quality service and minimize costs. Attacking costs in the form of fraud and abuse is a cornerstone of Empire's strategy, and it requires considerable investigative skill as well as sophisticated information technology.

The latter includes a data mining application that profiles each physician in the Empire network based on patient claim records in their database. From the profile, the application detects subtle deviations in physician behavior relative to her/his peer group. These deviations are reported to fraud investigators as a "suspicion index." A physician who performs a high number of procedures per visit, charges 40% more per patient, or sees many patients on the weekend would be flagged immediately from the suspicion index score.

What has this DM effort returned to Empire? In the first three years, they realized fraud-and-abuse savings of $29M, $36M, and $39M respectively.

Improving sales effectiveness and profitability: Pharmaceutical sales representatives have a broad assortment of tools for promoting products to physicians. These tools include clinical literature, product samples, dinner meetings, teleconferences, golf outings, and more. Knowing which promotions will be most effective with which doctors is extremely valuable since wrong decisions can cost the company hundreds of dollars for the sales call and even more in lost revenue.

The reps for a large pharmaceutical company collectively make tens of thousands of sales calls. One drug maker linked six months of promotional activity with corresponding sales figures in a database, which they then used to build a predictive model for each doctor. The data-mining models revealed, for instance, that among six different promotional alternatives, only two had a significant impact on the prescribing behavior of physicians. Using all the knowledge embedded in the data-mining models, the promotional mix for each doctor was customized to maximize ROI.

Although this new program was rolled out just recently, early responses indicate that the drug maker will exceed the $1.4M sales increase originally projected. Given that this increase is generated with no new promotional spending, profits are expected to increase by a similar amount.

Looking back at this set of examples, we must ask, "Why was data mining necessary?" For Keystone, response to the loan offer did not exist in the new credit bureau database of 400,000 potential customers. The model predicted the response given the other available customer characteristics. For Empire, the suspicion index quantified the differences between physician practices and peer (model) behavior. Appropriate physician behavior was a multi-variable aggregate produced by data mining - once again, not available in the database. For the drug maker, the promotion and sales databases contained the historical record of activity. An automated data mining method was necessary to model each doctor and determine the best combination of promotions to increase future sales.

Getting Started

In each case presented above, data mining yielded significant benefits to the business. Some were top-line results that increased revenues or expanded the customer base. Others were bottom-line improvements resulting from cost-savings and enhanced productivity. The natural next question is, "How can my organization get started and begin to realize the competitive advantages of DM?"

In our experience, pilot projects are the most successful vehicles for introducing data mining. A pilot project is a short, well-planned effort to bring DM into an organization. Good pilot projects focus on one very specific business need, and they involve business users up front and throughout the project. The duration of a typical pilot project is one to three months, and it generally requires 4 to 10 people part-time.

The role of the executive in such pilot projects is two-pronged. At the outset, the executive participates in setting the strategic goals and objectives for the project. During the project and prior to roll out, the executive takes part by supervising the measurement and evaluation of results. Lack of executive sponsorship and failure to involve business users are two primary reasons DM initiatives stall or fall short.

In reading this article, perhaps you've developed a vision and want to proceed - to address a pressing business problem by sponsoring a data mining pilot project. Twisting the old adage, we say "just because you should doesn't mean you can." Be aware that a capability assessment needs to be an integral component of a DM pilot project. The assessment takes a critical look at data and data access, personnel and their skills, equipment, and software. Organizations typically underestimate the impact of data mining (and information technology in general) on their people, their processes, and their corporate culture. The pilot project provides a relatively high-reward, low-cost, and low-risk opportunity to quantify the potential impact of DM.

Another stumbling block for an organization is deciding to defer any data mining activity until a data warehouse is built. Our experience indicates that, oftentimes, DM could and should come first. The purpose of the data warehouse is to provide users the opportunity to study customer and market behavior both retrospectively and prospectively. A data mining pilot project can provide important insight into the fields and aggregates that need to be designed into the warehouse to make it really valuable. Further, the cost savings or revenue generation provided by DM can provide bootstrap funding for a data warehouse or related initiatives.

Recapping, in this article we addressed the key questions executives have about data mining - what it is, what the benefits are, and how to get started. Armed with this knowledge, begin with a pilot project. From there, you can continue building the data mining capability in your organization; to expand your business, improve profitability, reduce costs, and market your products more effectively.


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Elevate Your Business With Data Entry Services

The sole aim of many organizations is to progress well in their objectives and hire people who are good and efficient in their work. However, sometimes, there are some work profiles that are mundane in nature but equally important like data entry services. You will be amazed to know that these services also play a crucial role in building the future of an organization.

In fact, with the coming of information technology, the data entry services have actually become a kind of industry, as various businesses need accurate and detailed information for various reasons. Thus they are relying on such services that not only help them in growing but are cost effective too. These data entry services are an asset for any organization irrespective of its size in both the terms of workforce, financial status and area. With the help of such services you are able to get the information on the market trends, your clients and moreover, about the status of your own business. Hence, there is a lot of demand for data entry services in order to do great business.

As you must be aware of the fact that data entry services can be time consuming; hence it requires efficient workforce to execute various tasks perfectly and diligently. Every transaction has to be recorded, processed and analyzed so that the management or the decision-makers can have a clear picture of the actual financial standing of the company. In fact, there are many organizations that are interested in the data of company so that they can strike a business deal with the company in the future; the competitors are also the one's who are constantly following the happenings of the company. However, the most important part that constitutes group are the shareholders, employees, creditors, consumers and the market in general. Therefore, this service plays a significant role in determining the future of the company. Thus, it is taken very seriously by many business enterprises for various reasons that can elevate their businesses by many fractions.

In fact, data entry services are now being outsourced from various leading vendors to further simplify the requirements of every business. Well, these services cover many business activities like document and image processing, data conversion, image enhancement, image editing, catalog processing, and photo manipulation. In fact, you can use data entry services for transferring hard or soft copy to any database format; insurance claims entry; PDF document indexing; online data capture; product catalogs to web based systems; online order entry and follow up; creation of new databases. Moreover, banks, airlines, government agencies, direct marketing services and service providers are using these services for better businesses.

The data services are also utilized for mailing lists; data mining and warehousing; data cleansing; audio transcriptions; legal documents; indexing of vouchers and documents; hand written ballot or card entry; online completion of surveys and responses of customers for various companies. Now its up to the company to whether go for a vendor or hire in-house staff to accomplish tasks in a better way; the main purpose of this service is to offer convenience that can help in curbing time as well as other resources.


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Merits of Scientific Data Management

Scientific data management is a division of specialized applications software solutions whose purpose is optimizing laboratory operations, processes, data generation and processing and other scientific processes. They optimize efficiency by providing an effective method for data generation and acquisition, sorting and storage, information analysis and processing, handling of samples, data reporting and management. The amount of data generated in research situations is ever-increasing, and the processing needs for this information are high. These solutions streamline and optimize research methods through the provision of integral tools to be deployed in data collation, information processing and creation of scientific databases.

Modern scientific data management solutions employ technology called data pipelining which are algorithms that determine the sequential processing of data, for example, they can translate the output from one process into input data for the next. These are software pipelines that automate the process of feeding input in scientific settings where research is undertaken in split stages. Pipelining uses software commands that sort and organize the data extracted from one operational stage and save this into a properly organized database. It is from this database that the data needed for initial input into the following working phase of research will be derived. It eases this part of the workload for the laboratory professionals and eliminates errors emanating from erroneous data input.

The pipelines can be either dynamic or linear. Linear systems have pre-programmed set of functions to perform on specific data in a pre-determined order whilst dynamic systems will perform pre-programmed set of functions at different times. In large scientific projects, where there is a lot of post-processing and annotation to be tackled by different or isolated individuals working in disparate conditions or locations, data pipelining assists with the logistical challenges. These software solutions provide an interface for progress determination and planning. This allows researchers to conduct high-throughput research; this is research whereby computational and mathematical modelling millions of scenarios are quickly analysed and statistical probabilities and inferences determined so, saving on time and resources.

Application of this software allows a laboratory to advance experimentation while remaining accurate. The competitiveness of the market means that the achievement of well-timed progress in an effective way is necessary. Scientific data management services enable users to streamline lab activities that are needed to be performed for in-time execution of scientific processes. Software developers who work in consultation with research and mathematical experts develop these software solutions. This helps them to determine the best way of handling data generation and processing within a demanding scientific environment.


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How Web Data Extraction Services Will Save Your Time and Money by Automatic Data Collection

Data scrape is the process of extracting data from web by using software program from proven website only. Extracted data any one can use for any purposes as per the desires in various industries as the web having every important data of the world. We provide best of the web data extracting software. We have the expertise and one of kind knowledge in web data extraction, image scrapping, screen scrapping, email extract services, data mining, web grabbing.

Who can use Data Scraping Services?

Data scraping and extraction services can be used by any organization, company, or any firm who would like to have a data from particular industry, data of targeted customer, particular company, or anything which is available on net like data of email id, website name, search term or anything which is available on web. Most of time a marketing company like to use data scraping and data extraction services to do marketing for a particular product in certain industry and to reach the targeted customer for example if X company like to contact a restaurant of California city, so our software can extract the data of restaurant of California city and a marketing company can use this data to market their restaurant kind of product. MLM and Network marketing company also use data extraction and data scrapping services to to find a new customer by extracting data of certain prospective customer and can contact customer by telephone, sending a postcard, email marketing, and this way they build their huge network and build large group for their own product and company.

We helped many companies to find particular data as per their need for example.

Web Data Extraction

Web pages are built using text-based mark-up languages (HTML and XHTML), and frequently contain a wealth of useful data in text form. However, most web pages are designed for human end-users and not for ease of automated use. Because of this, tool kits that scrape web content were created. A web scraper is an API to extract data from a web site. We help you to create a kind of API which helps you to scrape data as per your need. We provide quality and affordable web Data Extraction application

Data Collection

Normally, data transfer between programs is accomplished using info structures suited for automated processing by computers, not people. Such interchange formats and protocols are typically rigidly structured, well-documented, easily parsed, and keep ambiguity to a minimum. Very often, these transmissions are not human-readable at all. That's why the key element that distinguishes data scraping from regular parsing is that the output being scraped was intended for display to an end-user.

Email Extractor

A tool which helps you to extract the email ids from any reliable sources automatically that is called a email extractor. It basically services the function of collecting business contacts from various web pages, HTML files, text files or any other format without duplicates email ids.

Screen scrapping

Screen scraping referred to the practice of reading text information from a computer display terminal's screen and collecting visual data from a source, instead of parsing data as in web scraping.

Data Mining Services

Data Mining Services is the process of extracting patterns from information. Datamining is becoming an increasingly important tool to transform the data into information. Any format including MS excels, CSV, HTML and many such formats according to your requirements.

Web spider

A Web spider is a computer program that browses the World Wide Web in a methodical, automated manner or in an orderly fashion. Many sites, in particular search engines, use spidering as a means of providing up-to-date data.

Web Grabber

Web grabber is just a other name of the data scraping or data extraction.

Web Bot

Web Bot is software program that is claimed to be able to predict future events by tracking keywords entered on the Internet. Web bot software is the best program to pull out articles, blog, relevant website content and many such website related data We have worked with many clients for data extracting, data scrapping and data mining they are really happy with our services we provide very quality services and make your work data work very easy and automatic.


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Advantages of Data Entry Outsourcing to Your Business

Data entry is used to convert data into information. It is entering data into the computer, which includes keyboard entry, scanning and voice recognition. The volume and critical importance of services required in the business and office activities world over has become ever increasing in this electronic age. It is one of the vital tasks for any business to become successful in the long run.

Data entry is the hub of any business and though it may appear to be easy to manage and handle, this involves many processes that need to be dealt systematically. It is one such features of any business that needs to be handled properly for making your business a successful venture. This services cover most business and professional activities, including:

    Online Entry
    Offline Entry
    Image Entry
    Document Entry
    Book Entry
    Insurance Claim Entry
    Catalog entry
    Text and Numeric entry
    Invoice forms entry
    Legal documents entry
    Company reports entry

The data entry is a work very lengthened and tiring, thus the best option so that the companies take care of this is by the provisioning outsourcing. In today's competitive world, having all your business info and data updated on a regular basis will surely help you in being one step ahead of your competitor. In today's market, data entry solutions for different types of businesses are available at very competitive prices. An increasing number of companies are turning to outsourcing services.

Advantages of Data Entry Outsourcing:

    It helps you to focus on core business
    It reduces capital cost of infrastructure
    Competitive pricing which are as low as 60%
    Remove management headaches
    Improves employee satisfaction with higher value addition jobs
    Use latest standard and new technology
    Quick turnaround time and strong quality
    Make best use of competitive resources available worldwide
    High speed and low cost communication
    Line data processing possible from any location

Data entry services provided by outsourcing companies offer various services under this. So it does not matter what type of services you require, everything will be taken care of by these outsourcing service providing companies. Boost up your business by outsourcing work. If you are looking for specialists in data entry work then outsourcing to us will definitely meet your needs.



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Facts on Data Mining

Data mining is the process of examining a data set to extract certain patterns. Companies use this process to determine the outcome of their existing goals. They summarize this information into useful methods to create revenue and/or cut costs. When search engines are accessed, they begin to build lists of links from the first page it accesses. It continues this process throughout the site until it reaches the root page. This data not only includes text, but also numbers and facts.

Data mining focuses on consumers in relation to both "internal" (price, product positioning), and "external" (competition, demographics) factors which help determine consumer price, customer satisfaction, and corporate profits. It also provides a link between separate transactions and analytical systems. Four types of relationships are sought with data mining:

o Classes - information used to increase traffic
o Clusters - grouped to determine consumer preferences or logical relationships
o Associations - used to group products normally bought together (i.e., bacon, eggs; milk, bread)
o Patterns - used to anticipate behavior trends

This process provides numerous benefits to businesses, governments, society, and especially individuals as a whole. It starts with a cleaning process which removes errors and ensures consistency. Algorithms are then used to "mine" the data to establish patterns. With all new technology, there are positives and negatives. One negative issue that arises from the process is privacy. Although it is against the law, the selling of personal information over the Internet has occurred. Companies have to obtain certain personal information to be able to properly conduct their business. The problem is that the security systems in place are not adequately protecting this information.

From a customer viewpoint, data mining benefits businesses more than their interests. Their personal information is out there, possibly unprotected, and there is nothing they can do until a negative issue arises. On the other hand, from the business side, it helps enhance overall operations and aid in better customer satisfaction. In regards to the government, they use personal data to tighten security systems and protect the public from terrorism; however, they want to protect people's privacy rights as well. With numerous servers, databases, and websites out there, it becomes increasingly difficult to enforce stricter laws. The more information we introduce to the web, the greater the chances of someone hacking into this data.

Better security systems should be developed before data mining can truly benefit all parties involved. Privacy invasion can ruin people's lives. It can take months, even years, to regain a level of trust that our personal information will be protected. Benefits aside, the safety and well being of any human being should be top priority.


Source: http://ezinearticles.com/?Facts-on-Data-Mining&id=3640795

Data Mining Explained

Overview
Data mining is the crucial process of extracting implicit and possibly useful information from data. It uses analytical and visualization techniques to explore and present information in a format which is easily understandable by humans.

Data mining is widely used in a variety of profiling practices, such as fraud detection, marketing research, surveys and scientific discovery.

In this article I will briefly explain some of the fundamentals and its applications in the real world.

Herein I will not discuss related processes of any sorts, including Data Extraction and Data Structuring.

The Effort
Data Mining has found its application in various fields such as financial institutions, health-care & bio-informatics, business intelligence, social networks data research and many more.

Businesses use it to understand consumer behavior, analyze buying patterns of clients and expand its marketing efforts. Banks and financial institutions use it to detect credit card frauds by recognizing the patterns involved in fake transactions.

The Knack
There is definitely a knack to Data Mining, as there is with any other field of web research activities. That is why it is referred as a craft rather than a science. A craft is the skilled practicing of an occupation.

One point I would like to make here is that data mining solutions offers an analytical perspective into the performance of a company depending on the historical data but one need to consider unknown external events and deceitful activities. On the flip side it is more critical especially for Regulatory bodies to forecast such activities in advance and take necessary measures to prevent such events in future.

In Closing
There are many important niches of Web Data Research that this article has not covered. But I hope that this article will provide you a stage to drill down further into this subject, if you want to do so!

Should you have any queries, please feel free to mail me. I would be pleased to answer each of your queries in detail.



Source: http://ezinearticles.com/?Data-Mining-Explained&id=4341782

Usefulness of Web Scraping Services

For any business or organization, surveys and market research play important roles in the strategic decision-making process. Data extraction and web scraping techniques are important tools that find relevant data and information for your personal or business use. Many companies employ people to copy-paste data manually from the web pages. This process is very reliable but very costly as it results to time wastage and effort. This is so because the data collected is less compared to the resources spent and time taken to gather such data.

Nowadays, various data mining companies have developed effective web scraping techniques that can crawl over thousands of websites and their pages to harvest particular information. The information extracted is then stored into a CSV file, database, XML file, or any other source with the required format. After the data has been collected and stored, data mining process can be used to extract the hidden patterns and trends contained in the data. By understanding the correlations and patterns in the data; policies can be formulated and thereby aiding the decision-making process. The information can also be stored for future reference.

The following are some of the common examples of data extraction process:

• Scrap through a government portal in order to extract the names of the citizens who are reliable for a given survey.
• Scraping competitor websites for feature data and product pricing
• Using web scraping to download videos and images for stock photography site or for website design

Automated Data Collection
It is important to note that web scraping process allows a company to monitor the website data changes over a given time frame. It also collects the data on a routine basis regularly. Automated data collection techniques are quite important as they help companies to discover customer trends and market trends. By determining market trends, it is possible to understand the customer behavior and predict the likelihood of how the data will change.

The following are some of the examples of the automated data collection:

• Monitoring price information for the particular stocks on hourly basis
• Collecting mortgage rates from the various financial institutions on the daily basis
• Checking on weather reports on regular basis as required

By using web scraping services it is possible to extract any data that is related to your business. The data can then be downloaded into a spreadsheet or a database for it to be analyzed and compared. Storing the data in a database or in a required format makes it easier for interpretation and understanding of the correlations and for identification of the hidden patterns.

Through web scraping it is possible to get quicker and accurate results and thus saving many resources in terms of money and time. With data extraction services, it is possible to fetch information about pricing, mailing, database, profile data, and competitors data on a consistent basis. With the emergence of professional data mining companies outsourcing your services will greatly reduce your costs and at the same time you are assured of high quality services.


Source: http://ezinearticles.com/?Usefulness-of-Web-Scraping-Services&id=7181014

Data Mining Process - Why Outsource Data Mining Service?

Overview of Data Mining and Process:
Data mining is one of the unique techniques for investigating information to extract certain data patterns and decide to outcome of existing requirements. Data mining is widely use in client research, services analysis, market research and so on. It is totally based on mathematical algorithm and analytical skills to drive the desired results from the huge database collection.

Information mining is mostly used by financial analyzer, business and professional organization and also there are many growing area of business that are get maximum advantages of data extract with use of data warehouses in their small to large level of businesses.

Most of functionalities which are used in information collecting process define as under:

* Retrieving Data

* Analyzing Data

* Extracting Data

* Transforming Data

* Loading Data

* Managing Databases

Most of small, medium and large levels of businesses are collect huge amount of data or information for analysis and research to develop business. Such kind of large amount will help and makes it much important whenever information or data required.

Why Outsource Data Online Mining Service?

Outsourcing advantages of data mining services:
o Almost save 60% operating cost
o High quality analysis processes ensuring accuracy levels of almost 99.98%
o Guaranteed risk free outsourcing experience ensured by inflexible information security policies and practices
o Get your project done within a quick turnaround time
o You can measure highly skilled and expertise by taking benefits of Free Trial Program.
o Get the gathered information presented in a simple and easy to access format

Thus, data or information mining is very important part of the web research services and it is most useful process. By outsource data extraction and mining service; you can concentrate on your co relative business and growing fast as you desire.

Outsourcing web research is trusted and well known Internet Market research organization having years of experience in BPO (business process outsourcing) field.

If you want to more information about data mining services and related web research services, then contact us.


Source: http://ezinearticles.com/?Data-Mining-Process---Why-Outsource-Data-Mining-Service?&id=3789102